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    University of Skövde, link to startpage
    University of Skövde, link to startpage

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      AlgorOmics - developing new algorithms for biomarker identification

      Research Group Translational Bioinformatics Resarch Environment Systems biology

      AlgorOmics - developing new algorithms for biomarker identification

      Research Group Translational Bioinformatics
      Resarch Environment Systems biology

      Quick Facts

      Full project name

      Bioinformatics algorithms for integrated analysis and visualization of omics data

      Duration

      April 2017 – March 2020

      Partners

      AstraZeneca, Takara Bio Europe.

      Financing

      Knowledge Foundation, University of Skövde, AstraZeneca, Takara Bio Europe.

      Within AlgorOmics we develop and implement algorithms for integration, visualization, and analysis of large-scale omics data, with applications in stem cell differentiation and drug development.

      Omics data integration is complicated and encompasses many significant and unresolved challenges, such as consolidation of data in public repositories, integration of data from different platforms, organisms, and omics domains, as well as standardization of processing workflows and visualization of data and results that facilitates biological insights and knowledge discovery. The algorithms that are developed in this project address these challenges and provide new methods for biomarker discovery and explorative analysis of multi-omics data.

      New biomarker candidates

      The expected contributions from the project include the establishment of innovative algorithms, as well as identification of novel biomarker candidates by the application of these algorithms on various types of biomedical data that are generated in the project.

      Contact

      Associate Senior Lecturer in Bioinformatics

      Participating Researchers